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Lossless JPEG

About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.


Papers
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Journal ArticleDOI
TL;DR: The authors shed some light on the recent developments of the JPEG committee and discuss both the current status of JPEG XT and its future plans.
Abstract: The Joint Photographic Experts Group recently produced a new standard, JPEG eXTension. JPEG XT is both backward-compatible with legacy JPEG and offers the ability to encode images of higher precision and higher dynamic range, and in lossy or lossless modes. Here, the authors shed some light on the recent developments of the JPEG committee and discuss both the current status of JPEG XT and its future plans.

43 citations

Proceedings ArticleDOI
04 Oct 1998
TL;DR: This paper applies some of the Golomb-Rice coding techniques that emerged in JPEG-LS, a new standard for lossless image compression, and applies them towards coding DCT coefficients in the lossy JPEG baseline algorithm, showing significant improvements in performance with limited impact on computational complexity.
Abstract: In this paper we apply some of the Golomb-Rice coding techniques that emerged in JPEG-LS, a new standard for lossless image compression, and apply them towards coding DCT coefficients in the lossy JPEG baseline algorithm. We show that this results in significant improvements in performance with limited impact on computational complexity. In fact, one significant reduction in complexity provided by the proposed techniques is the complete elimination of the Huffman tables in JPEG baseline which can be a bottleneck in hardware implementations. We give simulation results, comparing the performance of the proposed technique to JPEG baseline, JPEG baseline with optimal Huffman coding (two pass) and JPEG arithmetic.

43 citations

Proceedings ArticleDOI
09 May 1995
TL;DR: This paper introduces a novel, image-adaptive, encoding scheme for the baseline JPEG standard, in particular, coefficient thresholding, JPEG quantization matrix (Q-matrix) optimization, and adaptive Huffman entropy-coding are jointly performed to maximize coded still-image quality within the constraints of the baselinejpg syntax.
Abstract: This paper introduces a novel, image-adaptive, encoding scheme for the baseline JPEG standard. In particular, coefficient thresholding, JPEG quantization matrix (Q-matrix) optimization, and adaptive Huffman entropy-coding are jointly performed to maximize coded still-image quality within the constraints of the baseline JPEG syntax. Adaptive JPEG coding has been addressed in earlier works: by Ramchandran and Vetterli (see IEEE Trans. on Image Processing, Special Issue on Image Compression, vol.3, p.700-704, September 1994), where fast rate-distortion (R-D) optimal coefficient thresholding was described, and by Wu and Gersho (see Proc. Inter. Conf. Acoustics, Speech and Signal Processing, vol.5, p.389-392, April 1993) and Hung and Meng (1991), where R-D optimized Q-matrix selection was performed. By formulating an algorithm which optimizes these two operations jointly, we have obtained performance comparable to more complex, "state-of-the-art" coding schemes: for the "Lenna" image at 1 bpp, our algorithm has achieved a PSNR of 39.6 dB. This result represents a gain of 1.7 dB over JPEG with a customized Huffman entropy coder, and even slightly exceeds the published performance of Shapiro's (see IEEE Trans. on Signal Processing, vol.41, p.3445-3462, December 1993) wavelet-based scheme. Furthermore, with the choice of appropriate visually-based error metrics, noticeable subjective improvement has been achieved as well.

43 citations

Proceedings ArticleDOI
29 Dec 2011
TL;DR: The proposed method is able to accurately estimate the quantization step and the grid shift of the primary JPEG compression, which can be used to perform a more detailed analysis of possibly forged images.
Abstract: In this paper, we propose a simple yet reliable method to detect the presence of non-aligned double JPEG compression (NA-JPEG). The method is based on a single feature which depends on the integer periodicity of the DCT coefficients when the DCT is computed according to the grid of the previous JPEG compression. Even if the proposed feature is computed relying only on DC coefficient statistics, a simple threshold detector can classify NA-JPEG images with improved accuracy with respect to existing methods and on smaller image sizes. Moreover, the proposed method is able to accurately estimate the quantization step and the grid shift of the primary JPEG compression, which can be used to perform a more detailed analysis of possibly forged images.

42 citations

Proceedings Article
01 Dec 2012
TL;DR: Experimental results show that HEVC can offer consistent performance gains over a wide range of bitrates on natural video sequences as expected and comparisons of image coding between the HEVC and previous image and intra-only video coding standards, including JPEG 2000, JPEG LS and H.264/AVC intra high profile are presented.
Abstract: High Efficiency Video Coding (HEVC), the latest international standard of video coding under development, has shown a major breakthrough with regards to compression efficiency But most of the currently published studies were intended to evaluate the overall R-D performance of HEVC in comparison to prior H264/AVC video coding standard In this paper, we present sufficient rate-distortion performance comparisons of image coding between the HEVC and previous image and intra-only video coding standards, including JPEG 2000, JPEG LS and H264/AVC intra high profile In addition, some recently reported performances of HEVC are also reviewed and compared The coding simulations are conducted on a set of recommended video sequences during the development of the HEVC standard Experimental results show that HEVC can offer consistent performance gains over a wide range of bitrates on natural video sequences as expected Besides, we also present the comparison results of all these standards in the scenario of lossless image coding

42 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202321
202240
20215
20202
20198
201815